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Exploring the Landscape of Spatial Robustness

7 December 2017

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Papers citing "Exploring the Landscape of Spatial Robustness"

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Title
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 104 121 0 15 Aug 2020
RGB cameras failures and their effects in autonomous driving applications Andrea Ceccarelli Francesco Secci 62 32 0 13 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 113 73 0 07 Aug 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 102 156 0 16 Jul 2020
Learning perturbation sets for robust machine learning Eric Wong J. Zico Kolter OOD 76 81 0 16 Jul 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models Cassidy Laidlaw Sahil Singla Soheil Feizi AAML OOD 109 189 0 22 Jun 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 84 92 0 05 May 2020
Continuous sign language recognition from wearable IMUs using deep capsule networks and game theory Karush Suri Rinki Gupta 11 38 0 27 Apr 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 76 12 0 30 Mar 2020
Certified Defenses for Adversarial Patches Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 63 171 0 14 Mar 2020
Certified Defense to Image Transformations via Randomized Smoothing Marc Fischer Maximilian Baader Martin Vechev AAML 84 67 0 27 Feb 2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu Xiao Zhang David Evans SSL OOD 83 27 0 26 Feb 2020
Overfitting in adversarially robust deep learning Leslie Rice Eric Wong Zico Kolter 124 810 0 26 Feb 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable Xiaodong Qi Lansheng Han AAML 51 0 0 25 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 87 156 0 20 Feb 2020
On the Information Bottleneck Problems: Models, Connections, Applications and Information Theoretic Views Milad Sefidgaran Iñaki Estella Aguerri S. Shamai 56 90 0 31 Jan 2020
Evaluating Robustness to Context-Sensitive Feature Perturbations of Different Granularities Isaac Dunn Laura Hanu Hadrien Pouget Daniel Kroening T. Melham AAML 56 2 0 29 Jan 2020
A simple way to make neural networks robust against diverse image corruptions E. Rusak Lukas Schott Roland S. Zimmermann Julian Bitterwolf Oliver Bringmann Matthias Bethge Wieland Brendel 86 64 0 16 Jan 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 61 9 0 16 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 132 55 0 13 Jan 2020
Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations Lin Wang Wonjune Cho Kuk-Jin Yoon AAML 67 25 0 06 Jan 2020
Generating Semantic Adversarial Examples via Feature Manipulation Shuo Wang Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen Tianle Chen AAML 78 12 0 06 Jan 2020
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes Keane Lucas Mahmood Sharif Lujo Bauer Michael K. Reiter S. Shintre AAML 86 68 0 19 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 287 6,315 0 10 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 74 57 0 06 Dec 2019
Walking on the Edge: Fast, Low-Distortion Adversarial Examples Hanwei Zhang Yannis Avrithis Teddy Furon Laurent Amsaleg AAML 50 46 0 04 Dec 2019
Data Augmentation Using Adversarial Training for Construction-Equipment Classification Francis Baek Somin Park Hyoungkwan Kim GAN 26 5 0 27 Nov 2019
Playing it Safe: Adversarial Robustness with an Abstain Option Cassidy Laidlaw Soheil Feizi AAML 75 20 0 25 Nov 2019
Identifying Model Weakness with Adversarial Examiner Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille AAML ELM 73 20 0 25 Nov 2019
Band-limited Training and Inference for Convolutional Neural Networks Adam Dziedzic John Paparrizos S. Krishnan Aaron J. Elmore Michael Franklin 72 53 0 21 Nov 2019
Fine-grained Synthesis of Unrestricted Adversarial Examples Omid Poursaeed Tianxing Jiang Yordanos Goshu Harry Yang Serge J. Belongie Ser-Nam Lim AAML 106 13 0 20 Nov 2019
Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study Mohammad Mahdi Bejani M. Ghatee OOD 23 12 0 08 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Zhengyu Zhao Zhuoran Liu Martha Larson AAML 108 148 0 06 Nov 2019
Extracting robust and accurate features via a robust information bottleneck Ankit Pensia Varun Jog Po-Ling Loh AAML 61 20 0 15 Oct 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 78 5 0 14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 34 35 0 14 Oct 2019
Deep Latent Defence Giulio Zizzo C. Hankin S. Maffeis K. Jones AAML 40 2 0 09 Oct 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks Tianyu Pang Kun Xu Jun Zhu AAML 89 105 0 25 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ? Alfred Laugros A. Caplier Matthieu Ospici AAML 53 40 0 04 Sep 2019
Robustifying deep networks for image segmentation Zheng Liu Jinnian Zhang Varun Jog Po-Ling Loh A. McMillan AAML OOD 37 7 0 01 Aug 2019
Metamorphic Testing of a Deep Learning based Forecaster Anurag Dwarakanath Manish Ahuja Sanjay Podder Silja Vinu Arijit Naskar M. Koushik AI4TS 43 9 0 13 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 118 492 0 03 Jul 2019
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield Dou Goodman Tao Wei AAML 57 6 0 19 Jun 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing Haonan Qiu Chaowei Xiao Lei Yang Xinchen Yan Honglak Lee Yue Liu AAML 69 171 0 19 Jun 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks F. Assion Peter Schlicht Florens Greßner W. Günther Fabian Hüger Nico M. Schmidt Umair Rasheed AAML 73 14 0 17 Jun 2019
Novelty Detection via Network Saliency in Visual-based Deep Learning Valerie Chen Man-Ki Yoon Zhong Shao 29 3 0 09 Jun 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 43 8 0 08 Jun 2019
MNIST-C: A Robustness Benchmark for Computer Vision Norman Mu Justin Gilmer 73 213 0 05 Jun 2019
Do Image Classifiers Generalize Across Time? Vaishaal Shankar Achal Dave Rebecca Roelofs Deva Ramanan Benjamin Recht Ludwig Schmidt 140 83 0 05 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward A. Qayyum Muhammad Usama Junaid Qadir Ala I. Al-Fuqaha AAML 86 191 0 29 May 2019